BIM and CCD imaging based visual inspection method for airport road surface defects

Peng Dai; Liangsui Geng

doi:10.1117/12.2681207

8 June 2023 BIM and CCD imaging based visual inspection method for airport road surface defects

Peng Dai, Liangsui Geng

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127071I (2023) https://doi.org/10.1117/12.2681207
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

The current conventional airport road surface disease detection method mainly obtains disease information data and analyzes them, which leads to poor detection accuracy due to the lack of denoising of the disease images. In this regard, the visualization detection method of airport road surface disease based on BIM and CCD imaging is proposed. Combining the BIM forward model and CCD imaging technology to collect the disease information, the image is denoised and filtered, and the edge detection algorithm is optimized. The experimental results show that the proposed detection method has a high AP value and a more desirable detection accuracy.

Citation Download Citation

Peng Dai and Liangsui Geng "BIM and CCD imaging based visual inspection method for airport road surface defects", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127071I (8 June 2023); https://doi.org/10.1117/12.2681207

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